Every GPU scheduler in common use today, including run:ai, Slurm, and Kubernetes GPU operators, asks you to declare whether a job is training or inference at submission time. None of them check.…
workloadtruth is an MCP project maintained in the rudrendupaul/workloadtruth repository. The maintainer describes its purpose as “Every GPU scheduler in common use today, including run:ai, Slurm, and Kubernetes GPU operators, asks you to declare whether a job is training or inference…”. Read the project documentation for the complete scope.
The documented pypi package is workloadtruth-cli. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
{
"mcpServers": {
"workloadtruth": {
"command": "uvx",
"args": [
"--from",
"workloadtruth-cli",
"workloadtruth",
"mcp"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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